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Sinclair College

MAT 1455 Introduction to Data Science

An introductory course in data science for students interested in information technology, computer science, and related fields. Topics include curation of data; enhanced data visualization; statistical models, estimation, and prediction; and applications of data science.

Prerequisites: MAT 0300 and Other (with a grade of "C" or better)

Course Outcomes
  • Define machine learning and statistical learning technique, classify data using machine learning techniques, differentiate between supervised and unsupervised learning technique.
  • Differentiate between settings where methods of analysis of data will lead to biased results and to unbiased results, show bias in its various forms.
  • Distinguish between types of data, acquire raw data, organize, standardize, and clean this raw data.
  • Classify and summarize data using appropriate charting techniques based on the type of data, identify common distribution models and select the model that fits the data, predict a time series plots for the data.
  • Use probability distributions to approximate probabilities, estimate parameters, and make predictions.
Credit Hours: 5
  • Classroom: 5 hours
  • Division: Science, Mathematics and Engineering
  • Department: Mathematics
  • Repeatable Credit: No
  • Offered Online: No
Available Sections
Face to Face
Downtown Dayton Campus
Bldg 1, Rm 315
Faculty: Philip
Term: Spring 2024
Format: Course meets in person on scheduled days and times.
Open Seats: 11
Meets: TTH from 5:30PM to 7:45PM
Section: N50
Open Seats: 11
Meets: TTH from
5:30PM to 7:45PM
Section: N50
Virtual Learning
Online Learning with Meeting Times
Online
Faculty: Philip
Term: Spring 2024
Format: Course meets online during scheduled days and times, with additional online content. Check the schedule to confirm the days and times your class will meet online. Requires computer and high-speed internet.
Note: Webcam required
Course Fee: $37.50
Open Seats: 11
Meets: TTH from 5:30PM to 7:45PM
Section: N51
Open Seats: 11
Meets: TTH from
5:30PM to 7:45PM
Section: N51